Why your database benchmarking data is probably wrong (and how I fixed mine)

382 · Red Hat · June 5, 2026, 3:50 a.m.
Summary
This blog post discusses common pitfalls in database benchmarking, particularly with AWS RDS PostgreSQL. It highlights how misconfigured testing environments can mask true database performance and suggests solutions such as over-provisioning the client instance, managing I/O patterns, and adjusting PostgreSQL settings to ensure accurate performance measurements. Ultimately, the author provides a checklist for reliable benchmarking that emphasizes isolating variables and automating processes for consistency.